Download or read book The Online Trading Cookbook written by Alpesh Patel and published by John Wiley & Sons. This book was released on 2012-07-10 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Online Trading Cookbook is a unique resource for busy online traders of all levels, addressing the need amongst the growing number of those trading and investing from home for solid, low risk trading strategies which they can incorporate into a busy lifestyle. Suitable for all levels of retail trader and is supplemented by useful advice on the best trading tools, websites and brokers, the different markets available to trade, tips on risk and money management. The book is divided into sections based on levels of complexity and contains specific strategies used by profitable hedge funds as well as strategies used by other professionals, all of which can be implemented by private investors. The opening chapter discusses the professional tools traders will need, from multi-screen hardware, best websites, trading software, data services, brokers, trading products and the types of traders suited to each type of trading. The following chapters give concise novice, intermediate and advanced strategies for short and long term traders. The cookbook format is one of the most popular for teaching complicated subjects. Trading skills are presented and learnt as simply as recipes. This book provides exactly that from trading strategies to risk and money management. Each page presents as ingredients what the trader needs to do, the tools and the preparation with successful examples illustrated on the facing page. Both the proven format and its simplicity are compelling and unique in their application to trading. Written by two celebrated experts in the field, The Online Trading Cookbook is the perfect starting point for anyone wishing to learn to trade or for advanced traders wishing to further their knowledge.

Download or read book Python Algorithmic Trading Cookbook written by Pushpak Dagade and published by Packt Publishing Ltd. This book was released on 2020-08-28 with total page 528 pages. Available in PDF, EPUB and Kindle. Book excerpt: Build a solid foundation in algorithmic trading by developing, testing and executing powerful trading strategies with real market data using Python Key FeaturesBuild a strong foundation in algorithmic trading by becoming well-versed with the basics of financial marketsDemystify jargon related to understanding and placing multiple types of trading ordersDevise trading strategies and increase your odds of making a profit without human interventionBook Description If you want to find out how you can build a solid foundation in algorithmic trading using Python, this cookbook is here to help. Starting by setting up the Python environment for trading and connectivity with brokers, you’ll then learn the important aspects of financial markets. As you progress, you’ll learn to fetch financial instruments, query and calculate various types of candles and historical data, and finally, compute and plot technical indicators. Next, you’ll learn how to place various types of orders, such as regular, bracket, and cover orders, and understand their state transitions. Later chapters will cover backtesting, paper trading, and finally real trading for the algorithmic strategies that you've created. You’ll even understand how to automate trading and find the right strategy for making effective decisions that would otherwise be impossible for human traders. By the end of this book, you’ll be able to use Python libraries to conduct key tasks in the algorithmic trading ecosystem. Note: For demonstration, we're using Zerodha, an Indian Stock Market broker. If you're not an Indian resident, you won't be able to use Zerodha and therefore will not be able to test the examples directly. However, you can take inspiration from the book and apply the concepts across your preferred stock market broker of choice. What you will learnUse Python to set up connectivity with brokersHandle and manipulate time series data using PythonFetch a list of exchanges, segments, financial instruments, and historical data to interact with the real marketUnderstand, fetch, and calculate various types of candles and use them to compute and plot diverse types of technical indicatorsDevelop and improve the performance of algorithmic trading strategiesPerform backtesting and paper trading on algorithmic trading strategiesImplement real trading in the live hours of stock marketsWho this book is for If you are a financial analyst, financial trader, data analyst, algorithmic trader, trading enthusiast or anyone who wants to learn algorithmic trading with Python and important techniques to address challenges faced in the finance domain, this book is for you. Basic working knowledge of the Python programming language is expected. Although fundamental knowledge of trade-related terminologies will be helpful, it is not mandatory.

Download or read book Python for Algorithmic Trading written by Yves Hilpisch and published by O'Reilly Media. This book was released on 2020-11-12 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: Algorithmic trading, once the exclusive domain of institutional players, is now open to small organizations and individual traders using online platforms. The tool of choice for many traders today is Python and its ecosystem of powerful packages. In this practical book, author Yves Hilpisch shows students, academics, and practitioners how to use Python in the fascinating field of algorithmic trading. You'll learn several ways to apply Python to different aspects of algorithmic trading, such as backtesting trading strategies and interacting with online trading platforms. Some of the biggest buy- and sell-side institutions make heavy use of Python. By exploring options for systematically building and deploying automated algorithmic trading strategies, this book will help you level the playing field. Set up a proper Python environment for algorithmic trading Learn how to retrieve financial data from public and proprietary data sources Explore vectorization for financial analytics with NumPy and pandas Master vectorized backtesting of different algorithmic trading strategies Generate market predictions by using machine learning and deep learning Tackle real-time processing of streaming data with socket programming tools Implement automated algorithmic trading strategies with the OANDA and FXCM trading platforms

Download or read book The Online Trading Cookbook written by Alpesh Patel and published by John Wiley & Sons. This book was released on 2012-07-25 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Online Trading Cookbook is a unique resource for busy online traders of all levels, addressing the need amongst the growing number of those trading and investing from home for solid, low risk trading strategies which they can incorporate into a busy lifestyle. Suitable for all levels of retail trader and is supplemented by useful advice on the best trading tools, websites and brokers, the different markets available to trade, tips on risk and money management. The book is divided into sections based on levels of complexity and contains specific strategies used by profitable hedge funds as well as strategies used by other professionals, all of which can be implemented by private investors. The opening chapter discusses the professional tools traders will need, from multi-screen hardware, best websites, trading software, data services, brokers, trading products and the types of traders suited to each type of trading. The following chapters give concise novice, intermediate and advanced strategies for short and long term traders. The cookbook format is one of the most popular for teaching complicated subjects. Trading skills are presented and learnt as simply as recipes. This book provides exactly that from trading strategies to risk and money management. Each page presents as ingredients what the trader needs to do, the tools and the preparation with successful examples illustrated on the facing page. Both the proven format and its simplicity are compelling and unique in their application to trading. Written by two celebrated experts in the field, The Online Trading Cookbook is the perfect starting point for anyone wishing to learn to trade or for advanced traders wishing to further their knowledge.

Download or read book Trading Online written by Alpesh B. Patel and published by Financial Times/Prentice Hall. This book was released on 1999 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: The investment market is experiencing a massive swing towards online investing. "Trading Online" introduces private investors to this expanding world of Internet investing. Guiding investors step-by-step through the mass of information, the book directs them to the best deals and teaches them the necessary skills to trade efficiently, effectively and profitably. Demonstrating the latest net strategies and offering practical advice throughout, the book shows investors, from "net virgins" to sophisticated users, how to apply key techniques to Internet trading.

Download or read book Laughing at Wall Street written by Chris Camillo and published by St. Martin's Press. This book was released on 2011-11-08 with total page 239 pages. Available in PDF, EPUB and Kindle. Book excerpt: $20,000 to $2 million in only three years— the greatest stock-picker you never heard of tells you how you can do it too Chris Camillo is not a stockbroker, financial analyst, or hedge fund manager. He is an ordinary person with a knack for identifying trends and discovering great investments hidden in everyday life. In early 2007, he invested $20,000 in the stock market, and in three years it grew to just over $2 million. With Laughing at Wall Street, you'll see: •How Facebook friends helped a young parent invest in the wildly successful children's show, Chuggington—and saw her stock values climb 50% •How an everyday trip to 7-Eleven alerted a teenager to short Snapple stock—and tripled his money in seven days •How $1000 invested consecutively in Uggs, True Religion jeans, and Crocs over five years grew to $750,000 •How Michelle Obama caused J. Crew's stock to soar 186%, and Wall Street only caught up four months later! Engaging, narratively-driven, and without complicated financial analysis, Camillo's stock picking methodology proves that you do not need large sums of money or fancy market data to become a successful investor.

Download or read book Trading Strategies from a Trading Skeptic written by Dan Murphy and published by . This book was released on 2013-05 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fact: 95% of short-term traders lose money. Even worse, the average stock-picking newsletter has returned -3.7% annually over the past 30 years (Source: Jack Schwager, Market Sense and Nonsense). Despite the seemingly insurmountable odds of becoming a successful trader, it is not only possible, but also probable. But you need to be pointed in the right direction. Inside, you will find the roadmap to becoming a successful systematic trader from a trading skeptic who has never trusted a guru or talking head marched on TV if he can't test their ideas. Here are the highlights: How to automate your trading by working 10x smarter so you can make 10x more money, at 10x the speed, all while having 10x more free time and fun. How to ditch your trading hobby and create your trading business. How to cash in on a $25,000 reward for this one idea. The greatest enemy to your success as a trader. What the Holy Grail of trading is, and more importantly, what it isn't. How to overcome the pitfalls of back-testing before you blow out your account. The "make it or break it" test you must subject every trading strategy to. If it doesn't pass this, it won't work with real money. Why technical analysis is not only dead, it was dead on arrival. The trick to speed up your system design process from months to less than a week. How to profit from a simple change in trading that exposes the flaw of a multimillion-dollar industry. And much more...

Download or read book Trade Options Online written by George Fontanills and published by John Wiley & Sons. This book was released on 2000 with total page 382 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the advent of online and electronic trading, more investors are turning into traders. This book takes a critical look at the online brokers that offer options trading and shows how trading strategies work in the online world.

Download or read book The Tao of Trading written by Simon Ree and published by Houndstooth Press. This book was released on 2020-07-21 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt: Stop dreaming of great returns and start achieving them. Deep down, you know that sticking your money in a bank account or mutual fund won't get you in the fast lane to prosperity, but you're not sure where to turn. If you're serious about growing your wealth quickly, you need a book that teaches time-tested strategies that will help to greatly accelerate your wealth creation. The Tao of Trading is that book. In his twenty-five years as a banker, adviser, and player in the markets, Simon Ree has witnessed firsthand the many hurdles individual investors must overcome to succeed. He wrote this book to put you on the fast-track to financial success. In this book, you'll learn: How to instantly read market trends so you're "sailing with the wind at your back" The most powerful tool in finance for building your wealth AND managing your risk How to generate consistent cash flow from the stock market Simple to learn techniques that will have you trading the markets like a pro And much more  This is the resource you need to prosper whether markets are rising, falling...or crashing!

Download or read book Algorithmic Trading with Python written by Chris Conlan and published by Independently Published. This book was released on 2020-04-09 with total page 126 pages. Available in PDF, EPUB and Kindle. Book excerpt: Algorithmic Trading with Python discusses modern quant trading methods in Python with a heavy focus on pandas, numpy, and scikit-learn. After establishing an understanding of technical indicators and performance metrics, readers will walk through the process of developing a trading simulator, strategy optimizer, and financial machine learning pipeline. This book maintains a high standard of reprocibility. All code and data is self-contained in a GitHub repo. The data includes hyper-realistic simulated price data and alternative data based on real securities. Algorithmic Trading with Python (2020) is the spiritual successor to Automated Trading with R (2016). This book covers more content in less time than its predecessor due to advances in open-source technologies for quantitative analysis.

Download or read book High Frequency Trading and Limit Order Book Dynamics written by Ingmar Nolte and published by Routledge. This book was released on 2016-04-14 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book brings together the latest research in the areas of market microstructure and high-frequency finance along with new econometric methods to address critical practical issues in these areas of research. Thirteen chapters, each of which makes a valuable and significant contribution to the existing literature have been brought together, spanning a wide range of topics including information asymmetry and the information content in limit order books, high-frequency return distribution models, multivariate volatility forecasting, analysis of individual trading behaviour, the analysis of liquidity, price discovery across markets, market microstructure models and the information content of order flow. These issues are central both to the rapidly expanding practice of high frequency trading in financial markets and to the further development of the academic literature in this area. The volume will therefore be of immediate interest to practitioners and academics. This book was originally published as a special issue of European Journal of Finance.

Download or read book Quantitative Trading written by Ernie Chan and published by Wiley. This book was released on 2008-11-17 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: While institutional traders continue to implement quantitative (or algorithmic) trading, many independent traders have wondered if they can still challenge powerful industry professionals at their own game? The answer is "yes," and in Quantitative Trading, Dr. Ernest Chan, a respected independent trader and consultant, will show you how. Whether you're an independent "retail" trader looking to start your own quantitative trading business or an individual who aspires to work as a quantitative trader at a major financial institution, this practical guide contains the information you need to succeed.

Download or read book Guide to Successful Online Trading written by Larry Jacobs and published by CreateSpace. This book was released on 2014-12-03 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is one of the finest trading books ever written about trading. The reason is that it comes from over twenty expert traders with multiple years of trading experience. Trading as you know is extremely difficult. It is estimated that 90% of traders lose money in the markets. To help you overcome this statistic, these traders give their ideas on trading with some of the best trading methods developed through their long time experience. Perhaps with these trading methods you may then have the conviction and the disciple to pull the trigger to buy and sell profitably. The traders in this book have through experience have the right attitude and many employ a combination technical analysis principles and many formula strategies to be successful. You can develop these also. Trading is one of the best ways to make money if you treat it as a business. The purpose of this book is to give you the best methods so that you can implement them in your own trading style and make it a business. I wish to express my appreciation to all the writers in this book who made the book possible. They have spent many hours of their time and hard work in writing their section of the book and the putting together their video presentation for the online expo.

Download or read book Algorithmic Trading written by Ernie Chan and published by John Wiley & Sons. This book was released on 2013-05-28 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: Praise for Algorithmic TRADING “Algorithmic Trading is an insightful book on quantitative trading written by a seasoned practitioner. What sets this book apart from many others in the space is the emphasis on real examples as opposed to just theory. Concepts are not only described, they are brought to life with actual trading strategies, which give the reader insight into how and why each strategy was developed, how it was implemented, and even how it was coded. This book is a valuable resource for anyone looking to create their own systematic trading strategies and those involved in manager selection, where the knowledge contained in this book will lead to a more informed and nuanced conversation with managers.” —DAREN SMITH, CFA, CAIA, FSA, Managing Director, Manager Selection & Portfolio Construction, University of Toronto Asset Management “Using an excellent selection of mean reversion and momentum strategies, Ernie explains the rationale behind each one, shows how to test it, how to improve it, and discusses implementation issues. His book is a careful, detailed exposition of the scientific method applied to strategy development. For serious retail traders, I know of no other book that provides this range of examples and level of detail. His discussions of how regime changes affect strategies, and of risk management, are invaluable bonuses.” —ROGER HUNTER, Mathematician and Algorithmic Trader

Download or read book Algorithmic Short Selling with Python written by Laurent Bernut and published by Packt Publishing Ltd. This book was released on 2021-09-30 with total page 377 pages. Available in PDF, EPUB and Kindle. Book excerpt: Leverage Python source code to revolutionize your short selling strategy and to consistently make profits in bull, bear, and sideways markets Key Features Understand techniques such as trend following, mean reversion, position sizing, and risk management in a short-selling context Implement Python source code to explore and develop your own investment strategy Test your trading strategies to limit risk and increase profits Book Description If you are in the long/short business, learning how to sell short is not a choice. Short selling is the key to raising assets under management. This book will help you demystify and hone the short selling craft, providing Python source code to construct a robust long/short portfolio. It discusses fundamental and advanced trading concepts from the perspective of a veteran short seller. This book will take you on a journey from an idea (“buy bullish stocks, sell bearish ones”) to becoming part of the elite club of long/short hedge fund algorithmic traders. You'll explore key concepts such as trading psychology, trading edge, regime definition, signal processing, position sizing, risk management, and asset allocation, one obstacle at a time. Along the way, you'll will discover simple methods to consistently generate investment ideas, and consider variables that impact returns, volatility, and overall attractiveness of returns. By the end of this book, you'll not only become familiar with some of the most sophisticated concepts in capital markets, but also have Python source code to construct a long/short product that investors are bound to find attractive. What you will learn Develop the mindset required to win the infinite, complex, random game called the stock market Demystify short selling in order to generate alpa in bull, bear, and sideways markets Generate ideas consistently on both sides of the portfolio Implement Python source code to engineer a statistically robust trading edge Develop superior risk management habits Build a long/short product that investors will find appealing Who this book is for This is a book by a practitioner for practitioners. It is designed to benefit a wide range of people, including long/short market participants, quantitative participants, proprietary traders, commodity trading advisors, retail investors (pro retailers, students, and retail quants), and long-only investors. At least 2 years of active trading experience, intermediate-level experience of the Python programming language, and basic mathematical literacy (basic statistics and algebra) are expected.

Download or read book The Ultimate SPAM Cookbook written by The Hormel Kitchen and published by Fox Chapel Publishing. This book was released on 2020-08-18 with total page 327 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Ultimate SPAM® Cookbook is here, featuring over 100 elevated recipes for breakfast, appetizers, main courses, and snacks, all starring this key ingredient. From gyros and Hawaiian pizza to BBQ sliders, enchilada breakfast casseroles, pho, and so much more, each recipe is easy, quick, and delicious. Including official Hormel recipes and those contributed by Chopped champion Georgeann Leaming, Food Network guests Beth Esposito and Christian Gill, award-winning TV show host Martin Yan of Yan Can Cook, head chefs, restaurant owners, and other renowned industry leaders, this cookbook presents the little blue can in a whole new light!

Download or read book Python for Finance written by Yves Hilpisch and published by "O'Reilly Media, Inc.". This book was released on 2018-12-05 with total page 720 pages. Available in PDF, EPUB and Kindle. Book excerpt: The financial industry has recently adopted Python at a tremendous rate, with some of the largest investment banks and hedge funds using it to build core trading and risk management systems. Updated for Python 3, the second edition of this hands-on book helps you get started with the language, guiding developers and quantitative analysts through Python libraries and tools for building financial applications and interactive financial analytics. Using practical examples throughout the book, author Yves Hilpisch also shows you how to develop a full-fledged framework for Monte Carlo simulation-based derivatives and risk analytics, based on a large, realistic case study. Much of the book uses interactive IPython Notebooks.